Error in Training ConvTasNet on LibriMix
See original GitHub issue🐛 Bug
To Reproduce
After having created all mixtures and moving onto stage 1 of run.sh, the following errors show up -
Stage 1: Training
Traceback (most recent call last):
File "train.py", line 127, in <module>
{'data': {'n_src': 3,
'sample_rate': 16000,
'segment': 3,
'task': 'sep_noisy',
'train_dir': 'data/wav8k/min/train-360',
'valid_dir': 'data/wav8k/min/dev'},
'filterbank': {'kernel_size': 16, 'n_filters': 512, 'stride': 8},
'main_args': {'exp_dir': 'exp/train_convtasnet_84932317', 'help': None},
'masknet': {'bn_chan': 128,
'hid_chan': 512,
'mask_act': 'relu',
'n_blocks': 8,
'n_repeats': 3,
'skip_chan': 128},
'optim': {'lr': 0.001, 'optimizer': 'adam', 'weight_decay': 0.0},
'positional arguments': {},
'training': {'batch_size': 24,
'early_stop': True,
'epochs': 200,
'half_lr': True,
'num_workers': 4}}
main(arg_dic)
File "train.py", line 33, in main
segment=conf['data']['segment'])
File "/home/subhanjan/asteroid/asteroid/data/librimix_dataset.py", line 52, in __init__
md_file = [f for f in os.listdir(csv_dir) if 'both' in f][0]
FileNotFoundError: [Errno 2] No such file or directory: 'data/wav8k/min/train-360'
Expected behavior
I have been trying to train ConvTasNet on n_src=3 for a while now and since LibriMix has this feature conveniently built in, I have been trying to use that, but I have been running into errors with the train_dir, test_dir variables in run.sh. Do they need to be changed? They’re being parsed as .csv files so what should these paths be changed to.
Environment
This is what my run.sh looks like
storage_dir=../LibriMix3spk
# After running the recipe a first time, you can run it from stage 3 directly to train new models.
# Path to the python you'll use for the experiment. Defaults to the current python
# You can run ./utils/prepare_python_env.sh to create a suitable python environment, paste the output here.
python_path=python
# Example usage
# ./run.sh --stage 3 --tag my_tag --task sep_noisy --id 0,1
# General
stage=0 # Controls from which stage to start
tag="" # Controls the directory name associated to the experiment
# You can ask for several GPUs using id (passed to CUDA_VISIBLE_DEVICES)
id=0
out_dir=librimix # Controls the directory name associated to the evaluation results inside the experiment directory
# Network config
n_blocks=8
n_repeats=3
mask_act=relu
# Training config
epochs=200
batch_size=24
num_workers=4
half_lr=yes
early_stop=yes
# Optim config
optimizer=adam
lr=0.001
weight_decay=0.
# Data config
train_dir=data/wav8k/min/train-360
valid_dir=data/wav8k/min/dev
test_dir=data/wav8k/min/test
sample_rate=16000
n_src=3
segment=3
task=sep_noisy # one of 'enh_single', 'enh_both', 'sep_clean', 'sep_noisy'
Kindly consider making run.sh more user-friendly and modular, since it’s the user’s only way of interacting with the program.
Issue Analytics
- State:
- Created 3 years ago
- Comments:9 (2 by maintainers)
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Top GitHub Comments
@JorisCos could you look into that please?
@mpariente @subhanjansaha @JorisCos
Hi guys, I encountered the same issue, and it’s a bug in this place: https://github.com/asteroid-team/asteroid/blob/master/egs/librimix/ConvTasNet/local/prepare_data.sh#L13
change this line to changed_n_src=$n_src, or local/create_local_metadata.py can’t find the right root libri directory.
thanks